Efficient Medical File Protection via Adaptive CRP-based Ephemeral Key Encapsulation and Robust Error Correction

Adil Alshammari, Dina Ghanai Miandoab, Sareh Assiri, Bertrand Cambou, Brit Riggs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ahstract- The healthcare sector faces significant challenges in balancing adaptability, security, and resource efficiency in medi-cal file management. This paper introduces a lightweight protocol that optimizes cryptographic components for using ephemeral key encapsulation, combining adaptive Challenge Response Pair with robust error correction. Designed for limited resource environments, the proposed approach minimizes computational overhead, ensures reliable key recovery, and provides privacy protection. The execution results validate its performance, making it a practical solution for a decentralized healthcare system.

Original languageEnglish (US)
Title of host publication2025 IEEE 15th Annual Computing and Communication Workshop and Conference, CCWC 2025
EditorsRajashree Paul, Arpita Kundu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages983-988
Number of pages6
ISBN (Electronic)9798331507695
DOIs
StatePublished - 2025
Event15th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2025 - Las Vegas, United States
Duration: Jan 6 2025Jan 8 2025

Publication series

Name2025 IEEE 15th Annual Computing and Communication Workshop and Conference, CCWC 2025

Conference

Conference15th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2025
Country/TerritoryUnited States
CityLas Vegas
Period1/6/251/8/25

Keywords

  • Challenge-Response Pair
  • Electronic Health Records
  • Ephemeral Key
  • Error Correction
  • Medical File Security
  • Privacy-Preserving Systems

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

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